Julia Donnelly

412 total citations
7 papers, 326 citations indexed

About

Julia Donnelly is a scholar working on Surgery, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Julia Donnelly has authored 7 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Julia Donnelly's work include Tissue Engineering and Regenerative Medicine (3 papers), Nerve injury and regeneration (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Julia Donnelly is often cited by papers focused on Tissue Engineering and Regenerative Medicine (3 papers), Nerve injury and regeneration (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Julia Donnelly collaborates with scholars based in United States, Brazil and Germany. Julia Donnelly's co-authors include Stephen F. Badylak, Harmanvir Ghuman, Michel Modo, André Ricardo Massensini, Sung‐Min Kim, Christopher J. Medberry, Eric T. Alexander, Otto Phanstiel, Susan K. Gilmour and Francesca J. Nicholls and has published in prestigious journals such as Biomaterials, Acta Biomaterialia and Molecular Cancer Therapeutics.

In The Last Decade

Julia Donnelly

7 papers receiving 323 citations

Peers

Julia Donnelly
Comparison fields: 5 of 53
  • Surgery 139
  • Biomaterials 134
  • Biomedical Engineering 90
  • Cellular and Molecular Neuroscience 89
  • Molecular Biology 77
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Aitziber Portero Spain
Gaurangkumar Patel United States
Byeongtaek Oh United States
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John M. Heffernan United States
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Citations per field, relative to Julia Donnelly
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Citations per year, relative to Julia Donnelly
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Countries citing papers authored by Julia Donnelly

Since Specialization
Citations

This map shows the geographic impact of Julia Donnelly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julia Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Donnelly more than expected).

Fields of papers citing papers by Julia Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Donnelly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julia Donnelly. The network helps show where Julia Donnelly may publish in the future.

Co-authorship network of co-authors of Julia Donnelly

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Donnelly. A scholar is included among the top collaborators of Julia Donnelly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Donnelly. Julia Donnelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1
Rethinking Reentry: a look at how risk-based approaches limit reentry success, and a case for why strengths-based approaches may better reduce recidivism
2
2 10
3 43
4 98
5 2
6 53
7 118

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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